les territoires étudiés
Les communes des métropoles de Paris, Lyon, Marseille
Les variables utilisées pour l’étude
Thématique Logement
| X1ry_res |
1573 |
85 |
15 |
| X2ry_res |
1573 |
5.6 |
11 |
| Vacant_Home |
1573 |
8.4 |
4.2 |
| Houses |
1573 |
78 |
32 |
| Flats |
1573 |
21 |
32 |
| Nb_Rooms_1ry_res |
1573 |
4.4 |
0.57 |
| House_1ry_res |
1573 |
79 |
29 |
| Flat_1ry_res |
1573 |
20 |
28 |
| X1ry_res_bf_1919 |
1573 |
16 |
15 |
| X1ry_res_19.45 |
1573 |
7.9 |
4.7 |
| X1ry_res_46.70 |
1573 |
16 |
9.6 |
| X1ry_res_71.90 |
1573 |
27 |
8 |
| X1ry_res_91.05 |
1573 |
15 |
7.5 |
| X1ry_res_06.15 |
1573 |
11 |
6 |
| HH_Moving_Time_lt2y |
1573 |
11 |
2.8 |
| HH_Moving_Time_2to4y |
1573 |
18 |
4.4 |
| HH_Moving_Time_5to9y |
1573 |
17 |
2 |
| HH_Moving_Time_10to19y |
1573 |
21 |
2.6 |
| HH_Moving_Time_20to29y |
1573 |
12 |
1.9 |
| HH_Moving_Time_gt30y |
1573 |
21 |
7.3 |
| X1ry_res_Owner |
1573 |
69 |
15 |
| X1ry_res_Tenant |
1573 |
19 |
6.1 |
| X1ry_res_Social |
1573 |
7.6 |
9 |
| X1ry_res_FreeAcc |
1573 |
1.2 |
1.6 |
| X1ry_res_Carpark |
1573 |
73 |
12 |
| X1ry_res_0car |
1573 |
11 |
6.9 |
| X1ry_res_1car |
1573 |
45 |
6.5 |
| X1ry_res_2car |
1573 |
36 |
10 |
| X1ry_res_3.car |
1573 |
7.5 |
3.3 |
| Pop_per_1ry_res |
1573 |
2.2 |
0.28 |
| X1ry_res_gt0car |
1573 |
89 |
6.9 |
| Pop_per_1ry_res_Owner |
1573 |
2.3 |
0.28 |
| Pop_per_1ry_res_Tenant |
1573 |
2 |
0.24 |
| Pop_per_1ry_res_Social |
1565 |
2.2 |
0.41 |
| Pop_per_1ry_res_FreeAcc |
1573 |
1.7 |
0.36 |
| X1ry_res_Occupancy |
1573 |
19 |
25 |
| Owners_Occupancy |
1573 |
16 |
19 |
| Tenant_Occupancy |
1573 |
1.3 |
2.2 |
| Social_Occupancy |
1573 |
0.82 |
2.7 |
| FreeAcc_Occupancy |
1573 |
0.067 |
0.15 |
| Overcrowding_rate |
1573 |
1.9 |
2.3 |
Thématique Emploi
| X1564_Workforce_rate |
1573 |
75 |
4.2 |
| X1524_Workforce_rate |
1573 |
44 |
7.6 |
| X2554_Workforce_rate |
1573 |
92 |
3.8 |
| X5564_Workforce_rate |
1573 |
55 |
7.7 |
| X1564_men_Workforce_rate |
1573 |
78 |
4 |
| X1524_men_Workforce_rate |
1573 |
48 |
9.2 |
| X2554_men_Workforce_rate |
1573 |
95 |
3.2 |
| X5564_men_Workforce_rate |
1573 |
56 |
9.3 |
| X1564_women_Workforce_rate |
1573 |
73 |
4.7 |
| X1524_women_Workforce_rate |
1573 |
39 |
6.5 |
| X2554_women_Workforce_rate |
1573 |
89 |
4.7 |
| X5564_women_Workforce_rate |
1573 |
53 |
7.3 |
| X1564_Employed_rate_amg_WF |
1573 |
88 |
4.6 |
| X1524_Employed_rate_amg_WF |
1573 |
75 |
8.1 |
| X2554_Employed_rate_amg_WF |
1573 |
90 |
4.4 |
| X5564_Employed_rate_amg_WF |
1573 |
90 |
3.7 |
| X1564_men_Employed_rate_amg_WF |
1573 |
89 |
4.4 |
| X1524_men_Employed_rate_amg_WF |
1573 |
75 |
8.9 |
| X2554_men_Employed_rate_amg_WF |
1573 |
91 |
4.1 |
| X5564_men_Employed_rate_amg_WF |
1573 |
91 |
3.8 |
| X1564_women_Employed_rate_amg_WF |
1573 |
88 |
4.8 |
| X1524_women_Employed_rate_amg_WF |
1573 |
74 |
9 |
| X2554_women_Employed_rate_amg_WF |
1573 |
89 |
4.7 |
| X5564_women_Employed_rate_amg_WF |
1573 |
90 |
4.1 |
| X1564_Unemployed_rate_amg_WF |
1573 |
12 |
4.6 |
| X1524_Unemployed_rate_amg_WF |
1573 |
25 |
8.1 |
| X2554_Unemployed_rate_amg_WF |
1573 |
10 |
4.4 |
| X5564_Unemployed_rate_amg_WF |
1573 |
10 |
3.7 |
| X1564_NonWorking_amg_WF |
1573 |
8.7 |
3.2 |
| X1564_Student_amg_WF |
1573 |
8.3 |
2.6 |
| X1564_Retired_amg_WF |
1573 |
7.8 |
3 |
| X1564_OtherInactive_amg_WF |
1573 |
5.1 |
2.5 |
| X1564_men_Unemplyed_amg_WF |
1573 |
18 |
9.2 |
| X1564_women_Unemplyed_amg_WF |
1573 |
11 |
5.8 |
| X1564_Student_amg_NW |
1573 |
25 |
9.1 |
| X1564_Retired_amg_NW |
1573 |
24 |
9.1 |
| X1564_OtherInactive_amg_NW |
1573 |
15 |
4.6 |
| X1564_NonWorking_amg_POP |
1573 |
33 |
7 |
| X1564_Farmers_amg_WF |
1573 |
2.7 |
5.4 |
| X1564_CraftsBusinessShopkeepers_amg_WF |
1573 |
8.5 |
4.7 |
| X1564_HihgQualWorkers_amg_WF |
1573 |
10 |
6 |
| X1564_IntermediateProf_amg_WF |
1573 |
23 |
6.6 |
| X1564_BlueCollar_amg_WF |
1573 |
23 |
10 |
| X1564_WhiteCollar_amg_WF |
1573 |
28 |
6.2 |
| X1564_Farmers_amg_EmpWF |
1573 |
1.6 |
3.4 |
| X1564_CraftsBusinessShopkeepers_amg_EmpWF |
1573 |
6.6 |
3 |
| X1564_HihgQualWorkers_amg_EmpWF |
1573 |
9.9 |
7.7 |
| X1564_IntermediateProf_amg_EmpWF |
1573 |
24 |
5.9 |
| X1564_BlueCollar_amg_EmpWF |
1573 |
24 |
11 |
| X1564_WhiteCollar_amg_EmpWF |
1573 |
28 |
4.6 |
| X15._men_amg_empWF |
1573 |
50 |
1.6 |
| X15._women_amg_empWF |
1573 |
50 |
1.6 |
| X15._Salaried_amg_empWF |
1573 |
86 |
7.6 |
| X15._NonSalaried_amg_empWF |
1573 |
14 |
7.6 |
| X15._FullTime_amg_empWF |
1573 |
83 |
3.5 |
| X15._men_amg_salWF |
1573 |
50 |
2.5 |
| X15._women_amg_salWF |
1573 |
50 |
2.5 |
| X15._men_amg_nonsalWF |
1573 |
64 |
4.1 |
| X15._women_amg_nonsalWF |
1573 |
36 |
4.1 |
| X15._men_amg_FullTimeWF |
1573 |
85 |
8.3 |
| X15._women_amg_FullTimeWF |
1573 |
15 |
8.3 |
| X15._FullTime_amg_salWF |
1573 |
82 |
4.2 |
Thématique Famille
| SinglePerson_HH |
1554 |
33 |
8.6 |
| SingleMan_HH |
1554 |
15 |
3.7 |
| SingleWoman_HH |
1554 |
18 |
5.4 |
| OtherNoFamily_HH |
1554 |
1.5 |
0.68 |
| Family_HH |
1554 |
65 |
8.9 |
| NoChildFamily_HH |
1573 |
45 |
9.2 |
| ChildFamily_HH |
1573 |
41 |
8.8 |
| SingleParent_HH |
1573 |
13 |
4.8 |
| Farmer_HH |
1554 |
1.3 |
2.4 |
| CraftsBusinessShopkeepers_HH |
1554 |
4.9 |
2 |
| HighQualidied_HH |
1554 |
6.8 |
6 |
| Intermediate_HH |
1554 |
15 |
5.5 |
| BlueCollar_HH |
1554 |
16 |
7.6 |
| WhiteCollar_HH |
1554 |
16 |
3.2 |
| Retired_HH |
1554 |
32 |
9.1 |
| Other_HH |
1554 |
4 |
2.7 |
| X15._SinglePerson_HH |
1573 |
38 |
6.9 |
| Pop_SingleMan_HH |
1554 |
6.7 |
2.4 |
| Pop_SingleWoman_HH |
1554 |
8.2 |
3.4 |
| Pop_OtherNoFamily_HH |
1554 |
1.5 |
0.77 |
| Pop_Family_HH |
1554 |
83 |
6.1 |
| Pop_NoChildFamily_HH |
1554 |
32 |
8.4 |
| Pop_ChildFamily_HH |
1554 |
55 |
8.9 |
| Pop_SingleParent_HH |
1554 |
12 |
4.3 |
| Pop_Farmer_HH |
1554 |
1.5 |
2.9 |
| Pop_CraftsBusinessShopkeepers_HH |
1554 |
6.1 |
2.3 |
| Pop_HighQualidied_HH |
1554 |
8.2 |
7.1 |
| Pop_Intermediate_HH |
1554 |
17 |
5.5 |
| Pop_BlueCollar_HH |
1554 |
19 |
9.1 |
| Pop_WhiteCollar_HH |
1554 |
17 |
3.6 |
| Pop_Retired_HH |
1554 |
22 |
8 |
| Pop_Other_HH |
1554 |
3.1 |
2.3 |
| X1524_amg_15.POP |
1573 |
12 |
3.1 |
| X2554_amg_15.POP |
1573 |
45 |
7.3 |
| X5579_amg_15.POP |
1573 |
35 |
6.9 |
| X80._amg_15.POP |
1573 |
7.9 |
3.4 |
| X15._Single_amg_POP |
1573 |
23 |
4.6 |
| X15._Married_amg_POP |
1573 |
46 |
4.6 |
| X15._nonMarried_amg_POP |
1573 |
54 |
4.6 |
| X1524_amg_HH |
1573 |
12 |
3 |
| X2554_amg_HH |
1573 |
46 |
7.2 |
| X5579_amg_HH |
1573 |
35 |
7.1 |
| X80._amg_HH |
1573 |
6.9 |
3 |
| X1524_amg_Single |
1573 |
3.5 |
2.5 |
| X2554_amg_Single |
1573 |
31 |
7.7 |
| X5579_amg_Single |
1573 |
45 |
6.1 |
| X80._amg_Single |
1573 |
19 |
5.3 |
| Family_w_Children_amg_HH |
1573 |
55 |
9.2 |
| Single_Parent_Family_amg_HH |
1573 |
13 |
4.8 |
| Family_wo_Children_amg_HH |
1573 |
45 |
9.2 |
Thématique Revenus
| D1_st_Living |
1546 |
12120 |
2128 |
| Median_st_Living |
1563 |
21210 |
3020 |
| D9_st_Living |
1546 |
34980 |
6435 |
| Interdecile_91_Ratio |
1546 |
2.9 |
0.57 |
| Taxable_HH |
1546 |
48 |
14 |
| Poverty_amg_Owners |
1460 |
7 |
4.4 |
| Poverty_amg_Tenants |
1498 |
26 |
10 |
| X.30_Poverty |
758 |
21 |
9.6 |
| X3039_Poverty |
1255 |
16 |
9.3 |
| X4049_Poverty |
1380 |
15 |
8.8 |
| X5059_Poverty |
1309 |
14 |
7.4 |
| X6074_Poverty |
1203 |
9.8 |
5.2 |
| X75._Poverty |
879 |
11 |
5.5 |
| Poverty |
1526 |
13 |
6.9 |
| Activity_Income |
1546 |
71 |
14 |
| Salary_Income |
1546 |
62 |
16 |
| Unemployment_Benef |
1546 |
2.8 |
0.7 |
| Self.Employment |
1546 |
5.7 |
2.6 |
| Pensions_Annuities |
1546 |
30 |
10 |
| Estate |
1546 |
9.4 |
2.7 |
| Social_Benef |
1546 |
5.1 |
2 |
| Family_Benef |
1546 |
2.1 |
0.7 |
| Social_Minima |
1546 |
1.9 |
1.2 |
| Housing_Benef |
1546 |
1.1 |
0.6 |
| Tax |
1546 |
-16 |
3.3 |
Thématique Activité
| Wk_Res_Municipality |
1573 |
27 |
17 |
| Wk_Res_County.Municipality |
1573 |
54 |
25 |
| Wk_Res_Region.County |
1573 |
4.8 |
13 |
| Wk_Res_Country.Region |
1573 |
1.7 |
2 |
| Wk_Dom_Com_Abroad |
1573 |
0.18 |
0.23 |
| noTransport_toWk |
1573 |
4.7 |
3 |
| Walk_toWk |
1573 |
5 |
3.3 |
| Bike_toWk |
1573 |
1 |
1 |
| Motorbike_toWk |
1573 |
1.1 |
0.73 |
| Drive_toWk |
1573 |
83 |
8.9 |
| PublicTrans_toWk |
1573 |
3.1 |
6.1 |
| X15._Men_amg_salWF |
1573 |
50 |
2.5 |
| X15._Women_amg_salWF |
1573 |
50 |
2.5 |
| X15._PermanentContract_amg_salWF |
315 |
83 |
5.8 |
| X15._ShortTermContract_amg_salWF |
315 |
11 |
5.4 |
| X15._InterimContract_amg_salWF |
315 |
1.1 |
1.5 |
| X15._SubsidizedWork_amg_salWF |
315 |
1.2 |
1.5 |
| X15._ApprenticeContract_amg_salWF |
315 |
2.3 |
1.6 |
| X15._SelfEmployed_amg_nonsalWF |
315 |
64 |
11 |
| X15._Employers_amg_nonsalWF |
315 |
35 |
11 |
| X15._caregivers_amg_nonsalWF |
315 |
0.89 |
2 |
Thématique Population
| X0014_amg_POP |
1573 |
18 |
3.7 |
| X1529_amg_POP |
1573 |
18 |
3.7 |
| X3044_amg_POP |
1573 |
18 |
3.2 |
| X4559_amg_POP |
1573 |
21 |
1.7 |
| X6074_amg_POP |
1573 |
18 |
4.8 |
| X7589_amg_POP |
1573 |
8.7 |
3.6 |
| X90._amg_POP |
1573 |
1.3 |
0.77 |
| Men |
1573 |
49 |
1.3 |
| X0019_amg_POP |
1573 |
23 |
4.3 |
| X2064_amg_POP |
1573 |
55 |
3.9 |
| X65._amg_POP |
1573 |
21 |
7.8 |
| X15._Farmers_amg_POP |
1573 |
0.95 |
1.9 |
| X15._CraftsBusinessShopkeeper_amg_POP |
1573 |
3.8 |
1.5 |
| X15._ManagersHigherIntellectProf_amg_POP |
1573 |
5.6 |
5 |
| X15._IntermediateProf_amg_POP |
1573 |
13 |
4.8 |
| X15._WhiteCollar_amg_POP |
1573 |
16 |
2.7 |
| X15._BlueCollar_amg_POP |
1573 |
13 |
5.8 |
| X15._Retired_amg_POP |
1573 |
30 |
9.5 |
| X15._OtherNoActivity_amg_POP |
1573 |
14 |
4.4 |
| X0014_men_amg_mPOP |
1573 |
18 |
3.8 |
| X1529_men_amg_mPOP |
1573 |
15 |
3.6 |
| X3044_men_amg_mPOP |
1573 |
18 |
3 |
| X4559_men_amg_mPOP |
1573 |
21 |
1.9 |
| X6074_men_amg_mPOP |
1573 |
18 |
5.2 |
| X7589_men_amg_mPOP |
1573 |
7.3 |
3.2 |
| X90._men_amg_mPOP |
1573 |
0.73 |
0.47 |
| X0019_men_amg_mPOP |
1573 |
25 |
4.6 |
| X2064_men_amg_mPOP |
1573 |
55 |
3.5 |
| X65._men_amg_mPOP |
1573 |
19 |
7.2 |
| X15._men_Farmers_amg_mPOP |
1573 |
1.5 |
2.9 |
| X15._men_CraftsBusinessShopkeeper_amg_mPOP |
1573 |
5.6 |
2.2 |
| X15._men_ManagersHigherIntellectProf_amg_mPOP |
1573 |
6.8 |
6.5 |
| X15._men_IntermediateProf_amg_mPOP |
1573 |
13 |
4.6 |
| X15._men_WhiteCollar_amg_mPOP |
1573 |
7.2 |
3.1 |
| X15._men_BlueCollar_amg_mPOP |
1573 |
22 |
8.5 |
| X15._men_Retired_amg_mPOP |
1573 |
29 |
8.9 |
| X15._men_OtherNoActivity_amg_POP |
1573 |
11 |
3.7 |
| X0014_women_amg_wPOP |
1573 |
17 |
3.8 |
| X1529_women_amg_wPOP |
1573 |
14 |
3.5 |
| X3044_women_amg_wPOP |
1573 |
18 |
3.5 |
| X4559_women_amg_wPOP |
1573 |
20 |
1.7 |
| X6074_women_amg_wPOP |
1573 |
18 |
4.6 |
| X7589_women_amg_wPOP |
1573 |
9.9 |
4.1 |
| X90._women_amg_wPOP |
1573 |
1.9 |
1.1 |
| X0019_women_amg_wPOP |
1573 |
22 |
4.4 |
| X2064_women_amg_wPOP |
1573 |
54 |
4.5 |
| X65._women_amg_wPOP |
1573 |
23 |
8.3 |
| X15._women_Farmers_amg_wPOP |
1573 |
0.44 |
0.97 |
| X15._women_CraftsBusinessShopkeeper_amg_wPOP |
1573 |
2.1 |
1 |
| X15._women_ManagersHigherIntellectProf_amh_wPOP |
1573 |
4.5 |
3.7 |
| X15._women_IntermediateProf_amg_wPOP |
1573 |
14 |
5.2 |
| X15._women_WhiteCollar_amg_wPOP |
1573 |
24 |
4.1 |
| X15._women_BlueCollar_amg_wPOP |
1573 |
4.8 |
3.2 |
| X15._women_Retired_amg_wPOP |
1573 |
30 |
10 |
| X15._women_OtherNoActivity_amg_wPOP |
1573 |
16 |
5.2 |
Thématique Logement
| X1ry_res |
1573 |
85 |
15 |
| X2ry_res |
1573 |
5.6 |
11 |
| Vacant_Home |
1573 |
8.4 |
4.2 |
| Houses |
1573 |
78 |
32 |
| Flats |
1573 |
21 |
32 |
| Nb_Rooms_1ry_res |
1573 |
4.4 |
0.57 |
| House_1ry_res |
1573 |
79 |
29 |
| Flat_1ry_res |
1573 |
20 |
28 |
| X1ry_res_bf_1919 |
1573 |
16 |
15 |
| X1ry_res_19.45 |
1573 |
7.9 |
4.7 |
| X1ry_res_46.70 |
1573 |
16 |
9.6 |
| X1ry_res_71.90 |
1573 |
27 |
8 |
| X1ry_res_91.05 |
1573 |
15 |
7.5 |
| X1ry_res_06.15 |
1573 |
11 |
6 |
| HH_Moving_Time_lt2y |
1573 |
11 |
2.8 |
| HH_Moving_Time_2to4y |
1573 |
18 |
4.4 |
| HH_Moving_Time_5to9y |
1573 |
17 |
2 |
| HH_Moving_Time_10to19y |
1573 |
21 |
2.6 |
| HH_Moving_Time_20to29y |
1573 |
12 |
1.9 |
| HH_Moving_Time_gt30y |
1573 |
21 |
7.3 |
| X1ry_res_Owner |
1573 |
69 |
15 |
| X1ry_res_Tenant |
1573 |
19 |
6.1 |
| X1ry_res_Social |
1573 |
7.6 |
9 |
| X1ry_res_FreeAcc |
1573 |
1.2 |
1.6 |
| X1ry_res_Carpark |
1573 |
73 |
12 |
| X1ry_res_0car |
1573 |
11 |
6.9 |
| X1ry_res_1car |
1573 |
45 |
6.5 |
| X1ry_res_2car |
1573 |
36 |
10 |
| X1ry_res_3.car |
1573 |
7.5 |
3.3 |
| Pop_per_1ry_res |
1573 |
2.2 |
0.28 |
| X1ry_res_gt0car |
1573 |
89 |
6.9 |
| Pop_per_1ry_res_Owner |
1573 |
2.3 |
0.28 |
| Pop_per_1ry_res_Tenant |
1573 |
2 |
0.24 |
| Pop_per_1ry_res_Social |
1565 |
2.2 |
0.41 |
| Pop_per_1ry_res_FreeAcc |
1573 |
1.7 |
0.36 |
| X1ry_res_Occupancy |
1573 |
19 |
25 |
| Owners_Occupancy |
1573 |
16 |
19 |
| Tenant_Occupancy |
1573 |
1.3 |
2.2 |
| Social_Occupancy |
1573 |
0.82 |
2.7 |
| FreeAcc_Occupancy |
1573 |
0.067 |
0.15 |
| Overcrowding_rate |
1573 |
1.9 |
2.3 |
Thématique Immigration
| French_nlty |
1239 |
96 |
5.3 |
| Stranger |
1239 |
4 |
5.3 |
| Immigrant |
1554 |
5.4 |
6.1 |
| French_nlty_amg_Men |
1239 |
96 |
5.5 |
| Stranger_amg_Men |
1239 |
4.1 |
5.5 |
| Immigrant_amg_Men |
1554 |
5.4 |
6.2 |
| French_nlty_amg_Women |
1239 |
96 |
5.1 |
| Stranger_amg_Women |
1239 |
3.8 |
5.1 |
| Immigrant_amg_Women |
1554 |
5.5 |
6.2 |
| Res_Abroad_2017 |
1239 |
0.25 |
0.26 |
Thématique Géographie
| densite |
1897 |
58 |
105 |
| latitude |
1231 |
6652162 |
408167 |
| longitude |
1231 |
676107 |
330745 |
| SO.NE |
1231 |
1 |
0.46 |
| NO.SE |
1231 |
-0.021 |
0.46 |
Manhattan
Pour construire les graphiques suivants, chaque variable a été dichotomisée par rapport à la médiane (1 pour supérieur à la médiane et 0 pour inférieur à la médiane).
Pour chaque semaine de l’année 2021, les 25 % des territoires les moins vaccinés sont étiquetés 1 et les autres 0.
On calcule l’odds ratio pour chaque variable. Cela permet de repérer les variables qui agissent le plus sur le taux de vaccination.
Dans ls graphique suivants, chaque variable a une position fixe sur l’axe des abscisses.
L’axe des ordonnées représente le maximum entre l’odds ratio et son inverse. Ainsi une variable qui agit fortement sur le taux de vaccination aura une position élevée sur le graphque indépendamment de l’influence positive ou négative de son influence. Les variables sont classées par thématique.
La grosseur de chaque point est proportionnelle à \(-\log_{10}(p)\).
Puis pour connaitre l’influebce de chaque variable, on ne trace uniquement l’odds ratio et enfin son inverse.
Données à la semaine non cumulées